An ensemble classification approach for melanoma diagnosis

@article{Schaefer2014AnEC,
  title={An ensemble classification approach for melanoma diagnosis},
  author={Gerald Schaefer and Bartosz Krawczyk and M. Emre Celebi and Hitoshi Iyatomi},
  journal={Memetic Computing},
  year={2014},
  volume={6},
  pages={233-240}
}
Malignant melanoma is the deadliest form of skin cancer, and has, among cancer types, one of the most rapidly increasing incidence rates in the world. Early diagnosis is crucial, since if detected early, its cure is simple. In this paper, we present an effective approach to melanoma identification from dermoscopic images of skin lesions based on ensemble… CONTINUE READING